Software Engineering-Based Design for a Bayesian Spam Filter

The rapid spread and the easy availability of a free e-mail service have made it the medium of choice for the sending of unsolicited advertising and bulk e-mail in general. These messages, known as junk e-mail or spam mail, are an increasing problem to both Internet users and Internet service provid...

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Autor principal:	Mumtaz Mohammed Ali AL-Mukhtar
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2010
Materias:	Spam client e-mail bayesian filter SQL server waterfall model. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d71bad9471a74b6fb7f7e07543aef1e8
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spelling	oai:doaj.org-article:d71bad9471a74b6fb7f7e07543aef1e82021-12-02T08:14:20ZSoftware Engineering-Based Design for a Bayesian Spam Filter1818-1171https://doaj.org/article/d71bad9471a74b6fb7f7e07543aef1e82010-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2331https://doaj.org/toc/1818-1171The rapid spread and the easy availability of a free e-mail service have made it the medium of choice for the sending of unsolicited advertising and bulk e-mail in general. These messages, known as junk e-mail or spam mail, are an increasing problem to both Internet users and Internet service providers (ISPs). <br />The research resolves one aspect of the spam problem by developing an appropriate filter for the e-mail client. The proposed filter is a combination of three forms of filters: Whitelist, Blacklist, and a Bayesian filter. Whitelist-based filter only accepts e-mails from known addresses. Blacklist filter blocks e-mails from addresses known to send out spam. Bayesian content-based filter makes estimations of spam probability based on the text and filters messages based on a pre-selected threshold.<br />The Bayesian filter is selected to be the main filter. The Bayesian filter is manually trained on a set of gathered e-mails; some of them are spam and the others are legitimate based on the contents of an e-mail. Thereafter the classification phase has been implemented for new entered e-mails. All the required databases are constructed in form of tables stored in the Structured Query Language (SQL) server. The filter at the client side can transparently access the database in order to carry on the intended filtering. The proposed system (e-mail client interface and the filters) can manage messages written in both Arabic and English languages which is crucial for the users in our region.<br />Software engineering principals are implemented throughout the design process to make the system less vulnerable to faults and easily maintained. The design steps have followed the Waterfall-model using the ASCENT software. A user-friendly interface has been developed to access the features of the spam filter at the client side. Visual Basic version 6 has been used to develop the system. As well, the SQL server has been implemented to build and process the database.<br />A number of performance measurements have been carried out with asset of gathered e-mails. The results are used to evaluate the performance of the filter and to prove its efficiency. <br />Mumtaz Mohammed Ali AL-MukhtarAl-Khwarizmi College of Engineering – University of BaghdadarticleSpamclient e-mailbayesian filterSQL serverwaterfall model.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 6, Iss 2, Pp 83-92 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Spam client e-mail bayesian filter SQL server waterfall model. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Spam client e-mail bayesian filter SQL server waterfall model. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Mumtaz Mohammed Ali AL-Mukhtar Software Engineering-Based Design for a Bayesian Spam Filter
description	The rapid spread and the easy availability of a free e-mail service have made it the medium of choice for the sending of unsolicited advertising and bulk e-mail in general. These messages, known as junk e-mail or spam mail, are an increasing problem to both Internet users and Internet service providers (ISPs). <br />The research resolves one aspect of the spam problem by developing an appropriate filter for the e-mail client. The proposed filter is a combination of three forms of filters: Whitelist, Blacklist, and a Bayesian filter. Whitelist-based filter only accepts e-mails from known addresses. Blacklist filter blocks e-mails from addresses known to send out spam. Bayesian content-based filter makes estimations of spam probability based on the text and filters messages based on a pre-selected threshold.<br />The Bayesian filter is selected to be the main filter. The Bayesian filter is manually trained on a set of gathered e-mails; some of them are spam and the others are legitimate based on the contents of an e-mail. Thereafter the classification phase has been implemented for new entered e-mails. All the required databases are constructed in form of tables stored in the Structured Query Language (SQL) server. The filter at the client side can transparently access the database in order to carry on the intended filtering. The proposed system (e-mail client interface and the filters) can manage messages written in both Arabic and English languages which is crucial for the users in our region.<br />Software engineering principals are implemented throughout the design process to make the system less vulnerable to faults and easily maintained. The design steps have followed the Waterfall-model using the ASCENT software. A user-friendly interface has been developed to access the features of the spam filter at the client side. Visual Basic version 6 has been used to develop the system. As well, the SQL server has been implemented to build and process the database.<br />A number of performance measurements have been carried out with asset of gathered e-mails. The results are used to evaluate the performance of the filter and to prove its efficiency. <br />
format	article
author	Mumtaz Mohammed Ali AL-Mukhtar
author_facet	Mumtaz Mohammed Ali AL-Mukhtar
author_sort	Mumtaz Mohammed Ali AL-Mukhtar
title	Software Engineering-Based Design for a Bayesian Spam Filter
title_short	Software Engineering-Based Design for a Bayesian Spam Filter
title_full	Software Engineering-Based Design for a Bayesian Spam Filter
title_fullStr	Software Engineering-Based Design for a Bayesian Spam Filter
title_full_unstemmed	Software Engineering-Based Design for a Bayesian Spam Filter
title_sort	software engineering-based design for a bayesian spam filter
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2010
url	https://doaj.org/article/d71bad9471a74b6fb7f7e07543aef1e8
work_keys_str_mv	AT mumtazmohammedalialmukhtar softwareengineeringbaseddesignforabayesianspamfilter
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Software Engineering-Based Design for a Bayesian Spam Filter

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